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Data Engineer Jobs in Gilbert, AZ (NOW HIRING)

MOUNTAIN PARK HEALTH CENTER

Data Engineer

Phoenix, AZ · On-site

$108K - $130K/yr

The Data Engineer plays a critical role in designing, building, and maintaining the enterprise data infrastructure that powers clinical, operational, and strategic decision-making across Mountain ...

MOUNTAIN PARK HEALTH CENTER

Data Engineer

Phoenix, AZ · On-site

$108K - $130K/yr

The Data Engineer plays a critical role in designing, building, and maintaining the enterprise data infrastructure that powers clinical, operational, and strategic decision-making across Mountain ...

Mountain Park Health Center

Data Engineer

Phoenix, AZ · On-site

$108K - $130K/yr

Description The Data Engineer plays a critical role in designing, building, and maintaining the enterprise data infrastructure that powers clinical, operational, and strategic decision-making across ...

Mountain Park Health Center

Data Engineer

Phoenix, AZ · On-site

$108K - $130K/yr

Description The Data Engineer plays a critical role in designing, building, and maintaining the enterprise data infrastructure that powers clinical, operational, and strategic decision-making across ...

Forhyre

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

Cesco

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

As a Data Engineer at Crescent Electric Supply, you will be responsible for the architecture, development, and management of Crescent's data pipelines, enabling reliable analytics and downstream ...

VRN Technologies

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

· 8+ years of experience in Data Engineering and data pipeline development. · Strong hands-on experience with Snowflake for cloud data warehousing. · Strong experience with dbt (Data Build Tool ...

Stellar IT Group

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location: Phoenix, AZ(Hybrid) Job Type: FTE Key Responsibilities Data Platform & Pipeline Development * Design, develop, and maintain cloud-native data pipelines using Databricks ...

Innova Solutions, Inc

Data Engineer

Phoenix, AZ · On-site

$40 - $42/hr

A client of Innova Solutions is immediately hiring for a Data Engineer position Position type: Fulltime, Contract Duration: 12 months Location: Charlotte, NC/ Irving, TX/ Phoenix, AZ/ Minneapolis, MN ...

Inficare Technologies

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

GCP Data Engineer Location: Phoenix, AZ Job Type: Contract (Long Term) Experience: Senior Level Job Overview Our client is seeking a Senior GCP Data Engineer to join their growing data team in ...

NucleusTeq

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role GCP Data Engineer Location Phoenix, AZ Duration: 12+ Months Skills: * Years of experience : 5-7 years * GCP Cloud : GCS, DataProc, BigQuery, Composer/Airflow * Big Data: PySpark * Spark, Python ...

Tror AI for everyone

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Job Title: - Data Engineer Location: - Scottsdale AZ (Day 1 Onsite) Job Type: - Contract ***Note: Need 12+ years of experience resumes*** Must have: * Strong Experience in Scala, Spark, hive SQL ...

Deloitte

Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

NucleusTeq

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

Role - GCP Data Engineer Location - Phoenix, AZ Duration: 12+ Months Skills: * Years of experience : 5-7 years * GCP Cloud : GCS, DataProc, BigQuery, Composer/Airflow * Big Data: PySpark * Spark ...

Nucleusteq

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role - GCP Data Engineer Location - Phoenix, AZ Duration: 12+ Months Skills: * Years of experience : 5-7 years * GCP Cloud : GCS, DataProc, BigQuery, Composer/Airflow * Big Data: PySpark * Spark ...

TriWest Healthcare

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Job Summary The Data Engineer will be responsible for design and development of ETL. The role will cover full systems development life cycle (SDLC) phases including requirements gathering, data ...

Perficientcorp Inc

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

| GCP Data Engineer | Phoenix, AZ | Contract Opportunity Location: Phoenix, AZ (Onsite/Hybrid) Duration: 12+ Months Experience Required: 5-7+ Years Visa: All Visas Accepted ⚡ Quick Client Feedback ...

Viasat

Data Engineer

Tempe, AZ · On-site

$111K - $133K/yr

They are seeking a Data Engineer to build infrastructure and tools for data collection and processing, enabling data access for various use cases and supporting the growth of the company.

Viasat, Inc.

Data Engineer

Tempe, AZ · On-site

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce TTM in order to fuel Viasat growth. The day-to-day In this Software Engineer ...

IVID TEK INC

GCP Data Engineer

Phoenix, AZ · On-site

$55/hr

GCP Data Engineer Experience : 6 to 9 Years Location : Phoenix, AZ, USA (Onsite) We are seeking an experienced GCP Data Engineer to design, build, and optimize enterprise-grade data platforms on ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Gilbert, AZ

Data Engineer information

See Gilbert, AZ salary details

$44.4K

$129.3K

$176.9K

How much do data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data engineer in Gilbert, AZ is $129,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $137,100.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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For Data Engineer jobs in Gilbert, AZ, the most frequently searched job titles are:

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Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Gilbert, AZ as of August 2026, with employment types broken down into 85% Full Time, 7% Temporary, and 8% Contract. Highlights an 70% In-person, 10% Hybrid, and 20% Remote job distribution, with an average salary of $129,334 per year, or $62.2 per hour.

Data Engineer

Phoenix, AZ • On-site

MOUNTAIN PARK HEALTH CENTER
Health Care and Social Assistance • 501 - 1,000 employees
Learn more about MOUNTAIN PARK HEALTH CENTERexternal

$108K - $130K/yr

Full-time

Posted 9 days ago

Mountain Park Health Center rating

6.8

Company rating: 6.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

The Data Engineer plays a critical role in designing, building, and maintaining the enterprise data infrastructure that powers clinical, operational, and strategic decision-making across Mountain Park Health Center. This position develops reliable data pipelines, data warehouses, data lakes, and Dataverse solutions that transform data from multiple sources into accurate, accessible, and actionable information.

The Data Engineer will collaborate with other IT team members and stakeholders to review, modernize, implement, and maintain data architecture, artificial intelligence, and machine learning based innovations in a healthcare setting to strengthen interoperability in a community focused healthcare organization.

Essential Functions

  • Designs, builds, implements, and maintains scalable data pipelines and Extract Transform Load (ETL)/Extract Load Transform (ELT) processes that integrate data from diverse internal and external systems to support enterprise-wide analytics.
  • Builds and optimizes data pipelines that prepare, transform, and deliver high-quality datasets to support predictive modeling use cases such as patient no-show risk, care gaps, and population health insights.
  • Develops data workflows that support both real-time and scheduled prediction use cases, ensuring the timely delivery of predictive insights for operational decision-making (e.g., scheduling or outreach).
  • Creates and establishes data quality standards, validation frameworks, and monitoring processes while advancing data governance practices, including data definitions and metadata management.
  • Enables interoperability and healthcare data exchange by developing and managing integrations using healthcare standards such as: Health Level Seven (HL7), Fast Healthcare Interoperability Resources (FHIR), and modern data exchange methods: Application Programming Interface (APIs), Secure File Transfer Protocol (SFTP), flat files to ensure seamless and accurate data flow across systems.
  • Partners with clinical, operational, and business stakeholders to identify predictive analytics use cases (e.g., no-show prediction, risk stratification, utilization forecasting) and ensures the necessary data architecture is in place to drive improved patient outcomes and organizational performance.
  • Monitors, troubleshoots, and enhances data pipelines, queries, and storage environments to ensure high performance, reliability, and scalability.
  • Collaborates with cross-functional teams to ensure internal customers can confidently and effectively use and trust the data.
  • Drives the adoption of best practices and maintains clear technical documentation while effectively communicating with both technical and non-technical audiences.
  • Maintains regular and predictable attendance.
  • Performs other duties as assigned

Position Qualifications

Minimum Qualifications:

  • Bachelor's degree in computer science, Mathematics, Engineering, Healthcare Informatics, or related field.
  • Five (5) years of experience in Information Technology.
  • Microsoft Azure or similar cloud solutions, SQL Server: SQL Server Management Studio (SSMS), SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS) and Transact-SQL (T-SQL) data manipulation or similar database.
  • Three (3) years of experience with business Intelligence tools such as PowerBI.

Preferred Qualifications:

  • Master's degree in computer science or related field.
  • Experience with Predictive Analytics
  • FHIR, HL7, API knowledge.
  • Healthcare experience.

What Mountain Park Health Center employees say

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